Task
Supervised Data Stream Classification on pendigits

Supervised Data Stream Classification on pendigits

Task 2200 Supervised Data Stream Classification pendigits 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.2331, kappa: 0.2257, kb_relative_information_score: 3500.5458, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.2777, predictive_accuracy: 0.3049, prior_entropy: 3.3219, ram_hours: 0, recall: 0.3049, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.9148, run_cpu_time: 0.8304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8741, kappa: 0.8515, kb_relative_information_score: 2962.5691, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.898, predictive_accuracy: 0.8664, prior_entropy: 3.3219, recall: 0.8664, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.275, root_relative_squared_error: 0.9168, run_cpu_time: 1.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0196, kb_relative_information_score: 629.3332, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0108, predictive_accuracy: 0.104, prior_entropy: 3.3219, recall: 0.104, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4136, root_relative_squared_error: 1.3788, run_cpu_time: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.1114, kappa: 0.0986, kb_relative_information_score: 1707.765, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.1032, predictive_accuracy: 0.1923, prior_entropy: 3.3219, recall: 0.1923, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4019, root_relative_squared_error: 1.3397, run_cpu_time: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.7899, kappa: 0.7624, kb_relative_information_score: 8510.4039, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8162, predictive_accuracy: 0.7863, prior_entropy: 3.3219, recall: 0.7863, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5986, run_cpu_time: 1.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.5584, kappa: 0.5293, kb_relative_information_score: 6043.051, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.5828, predictive_accuracy: 0.5768, prior_entropy: 3.3219, recall: 0.5768, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.8055, run_cpu_time: 0.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.7838, kappa: 0.7553, kb_relative_information_score: 8221.8558, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.807, predictive_accuracy: 0.7799, prior_entropy: 3.3219, recall: 0.7799, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.597, run_cpu_time: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.883, kappa: 0.8699, kb_relative_information_score: 9684.2416, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8858, predictive_accuracy: 0.8829, prior_entropy: 3.3219, recall: 0.8829, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4858, run_cpu_time: 1.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0196, kb_relative_information_score: 692.3345, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0108, predictive_accuracy: 0.104, prior_entropy: 3.3219, recall: 0.104, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.4111, run_cpu_time: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8708, kappa: 0.8566, kb_relative_information_score: 9556.8832, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.874, predictive_accuracy: 0.871, prior_entropy: 3.3219, recall: 0.871, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.153, root_relative_squared_error: 0.51, run_cpu_time: 1.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4806, f_measure: 0.0593, kappa: -0.0123, kb_relative_information_score: 98.2287, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0636, predictive_accuracy: 0.0926, prior_entropy: 3.3219, recall: 0.0926, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0005, run_cpu_time: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.817, kappa: 0.7883, kb_relative_information_score: 8791.4243, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8417, predictive_accuracy: 0.8096, prior_entropy: 3.3219, recall: 0.8096, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.5513, run_cpu_time: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0196, kb_relative_information_score: 692.3345, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0108, predictive_accuracy: 0.104, prior_entropy: 3.3219, recall: 0.104, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.4111, run_cpu_time: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.0297, kappa: 0.0011, kb_relative_information_score: 703.8378, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.021, predictive_accuracy: 0.105, prior_entropy: 3.3219, ram_hours: 0, recall: 0.105, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4231, root_relative_squared_error: 1.4103, run_cpu_time: 0.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8795, kappa: 0.8658, kb_relative_information_score: 9621.337, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8827, predictive_accuracy: 0.8793, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8793, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4714, run_cpu_time: 6.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.1029, kappa: 0.003, kb_relative_information_score: 679.7854, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.1029, predictive_accuracy: 0.1029, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1029, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.4119, run_cpu_time: 0.0854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8987, kappa: 0.8873, kb_relative_information_score: 9252.7354, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9006, predictive_accuracy: 0.8986, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8986, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.458, run_cpu_time: 5.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.3126, kappa: 0.2712, kb_relative_information_score: 3403.7278, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.3279, predictive_accuracy: 0.3453, prior_entropy: 3.3219, recall: 0.3453, relative_absolute_error: 0.7278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3505, root_relative_squared_error: 1.1682, run_cpu_time: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8795, kappa: 0.866, kb_relative_information_score: 9672.0133, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8825, predictive_accuracy: 0.8794, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8794, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4715, run_cpu_time: 5.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8708, kappa: 0.8566, kb_relative_information_score: 9556.8832, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.874, predictive_accuracy: 0.871, prior_entropy: 3.3219, ram_hours: 0, recall: 0.871, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.153, root_relative_squared_error: 0.51, run_cpu_time: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9441, kappa: 0.9382, kb_relative_information_score: 10340.4521, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9457, predictive_accuracy: 0.9444, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9444, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.09, root_relative_squared_error: 0.3, run_cpu_time: 67.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9062, kappa: 0.8955, kb_relative_information_score: 9881.3284, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9086, predictive_accuracy: 0.9059, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9059, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.4219, run_cpu_time: 5.2249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9441, kappa: 0.9382, kb_relative_information_score: 10339.9269, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9457, predictive_accuracy: 0.9444, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9444, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.3002, run_cpu_time: 2.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8564, kappa: 0.8424, kb_relative_information_score: 9379.2551, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8646, predictive_accuracy: 0.8582, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8582, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.5388, run_cpu_time: 0.4823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.8921, kappa: 0.8809, kb_relative_information_score: 9604.1404, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.894, predictive_accuracy: 0.8928, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8928, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.13, root_relative_squared_error: 0.4333, run_cpu_time: 4.38,

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    Challenge

    Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

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